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Throughout history, we have successfully integrated various machines into our homes.
The perceptron: a probabilistic model for information storage and organization in the brain
Frank Rosenblatt · 1958
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Robot learning from demonstration
Christopher G Atkeson and Stefan Schaal · 1997
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Robots at the tipping point: the road to irobot roomba
Joseph L Jones · 2006
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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The complex structure of simple devices: A survey of trajectories and forces that open doors and drawers
Advait Jain, Hai Nguyen, Mrinal Rath, Jason Okerman, and Charles C Kemp · 2010
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Efficient grasping from RGBD images: Learning using a new rectangle representation
Yun Jiang, Stephen Moseson, and Ashutosh Saxena · 2011
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Improving robot manipulation with data-driven object-centric models of everyday forces
Advait Jain and Charles C Kemp · 2013
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Autonomously learning to visually detect where manipulation will succeed
Hai Nguyen and Charles C Kemp · 2014
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Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
Lerrel Pinto and Abhinav Kumar Gupta · 2015
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Leveraging big data for grasp planning
Daniel Kappler, Jeannette Bohg, and Stefan Schaal · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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More than a million ways to be pushed. a high-fidelity experimental dataset of planar pushing
Kuan-Ting Yu, Maria Bauza, Nima Fazeli, and Alberto Rodriguez · 2016
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Data-driven thermal recognition of contact with people and objects
Tapomayukh Bhattacharjee, Joshua Wade, Yash Chitalia, and Charles C Kemp · 2016
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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OpenSfM: A Collaborative Structure-From-Motion System
Matthias Adorjan · 2016
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Dex-Net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics
Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, and Ken Goldberg · 2017
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Deep visual foresight for planning robot motion
Chelsea Finn and Sergey Levine · 2017
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Robot learning in homes: Improving generalization and reducing dataset bias
Abhinav Gupta, Adithyavairavan Murali, Dhiraj Prakashchand Gandhi, and Lerrel Pinto · 2018
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Roboturk: A crowdsourcing platform for robotic skill learning through imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, et al · 2018
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Jacquard: A large scale dataset for robotic grasp detection
Amaury Depierre, Emmanuel Dellandréa, and Liming Chen · 2018
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Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Sergey Levine, Peter Pastor, Alex Krizhevsky, Julian Ibarz, and Deirdre Quillen · 2018
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QT-Opt: Scalable deep reinforcement learning for vision-based robotic manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, et al · 2018
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Using simulation and domain adaptation to improve efficiency of deep robotic grasping
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, and Vincent Vanhoucke · 2018
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Visual foresight: Model-based deep reinforcement learning for vision-based robotic control
Frederik Ebert, Chelsea Finn, Sudeep Dasari, Annie Xie, Alex Lee, and Sergey Levine · 2018
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Multiple interactions made easy (MIME): Large scale demonstrations data for imitation
Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, and Abhinav Gupta · 2018
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Scaling egocentric vision: The epic-kitchens dataset
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, et al · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Multimodal tactile perception of objects in a real home
Tapomayukh Bhattacharjee, Henry M Clever, Joshua Wade, and Charles C Kemp · 2018
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Robots in American popular culture
Steve Carper · 2019
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De vito: A dual-arm, high degree-of-freedom, lightweight, inexpensive, passive upper-limb exoskeleton for robot teleoperation
Fabian Falck, Kawin Larppichet, and Petar Kormushev · 2019
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Scaling robot supervision to hundreds of hours with RoboTurk: Robotic manipulation dataset through human reasoning and dexterity
Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, and Li Fei-Fei · 2019
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Contactdb: Analyzing and predicting grasp contact via thermal imaging, 04 2019
Samarth Brahmbhatt, Cusuh Ham, Charles Kemp, and James Hays · 2019
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RoboNet: Large-scale multi-robot learning
Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, and Chelsea Finn · 2019
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Scaling data-driven robotics with reward sketching and batch reinforcement learning
Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerik, et al · 2019
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Bilateral humanoid teleoperation system using whole-body exoskeleton cockpit tablis
Yasuhiro Ishiguro, Tasuku Makabe, Yuya Nagamatsu, Yuta Kojio, Kunio Kojima, Fumihito Sugai, Yohei Kakiuchi, Kei Okada, and Masayuki Inaba · 2020
Cited alongside, same era.
Grasping in the wild: Learning 6dof closed-loop grasping from low-cost demonstrations
Shuran Song, Andy Zeng, Johnny Lee, and Thomas Funkhouser · 2020
Cited alongside, same era.
Visual imitation made easy
Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, and Lerrel Pinto · 2020
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Graspnet-1billion: a large-scale benchmark for general object grasping
Hao-Shu Fang, Chenxi Wang, Minghao Gou, and Cewu Lu · 2020
Cited alongside, same era.
ACRONYM: A large-scale grasp dataset based on simulation
Clemens Eppner, Arsalan Mousavian, and Dieter Fox · 2020
Cited alongside, same era.
Language models are few-shot learners, 2020
A wearable upper limb exoskeleton for intuitive teleoperation of anthropomorphic manipulators
Liang Zhao, Tie Yang, Yang Yang, and Peng Yu · 2023
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Dexterity from touch: Self-supervised pre-training of tactile representations with robotic play
Irmak Guzey, Ben Evans, Soumith Chintala, and Lerrel Pinto · 2023
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See to touch: Learning tactile dexterity through visual incentives
Irmak Guzey, Yinlong Dai, Ben Evans, Soumith Chintala, and Lerrel Pinto · 2023
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Learning fine-grained bimanual manipulation with low-cost hardware
Tony Z Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn · 2023
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RH20T: A robotic dataset for learning diverse skills in one-shot
Hao-Shu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Junbo Wang, Haoyi Zhu, and Cewu Lu · 2023
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Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Cited alongside, same era.
The surprising effectiveness of representation learning for visual imitation, 2021
Jyothish Pari, Nur Muhammad Shafiullah, Sridhar Pandian Arunachalam, and Lerrel Pinto · 2021
Cited alongside, same era.
Playful interactions for representation learning
Sarah Young, Jyothish Pari, Pieter Abbeel, and Lerrel Pinto · 2021
Cited alongside, same era.
BC-z: Zero-shot task generalization with robotic imitation learning
Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, and Chelsea Finn · 2021
Cited alongside, same era.
MT-Opt: Continuous multi-task robotic reinforcement learning at scale
Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, and Karol Hausman · 2021
Cited alongside, same era.
What matters in learning from offline human demonstrations for robot manipulation
Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, and Roberto Martín-Martín · 2021
Cited alongside, same era.
The design of stretch: A compact, lightweight mobile manipulator for indoor human environments
Charles C Kemp, Aaron Edsinger, Henry M Clever, and Blaine Matulevich · 2021
Cited alongside, same era.
Closest in time.
Bridgedata v2: A dataset for robot learning at scale, 2023
Homer Walke, Kevin Black, Abraham Lee, Moo Jin Kim, Max Du, Chongyi Zheng, Tony Zhao, Philippe Hansen-Estruch, Quan Vuong, Andre He, Vivek Myers, Kuan Fang, Chelsea Finn, and Sergey Levine · 2023
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Fanuc manipulation: A dataset for learning-based manipulation with fanuc mate 200iD robot
Xinghao Zhu, Ran Tian, Chenfeng Xu, Mingxiao Huo, Wei Zhan, Masayoshi Tomizuka, and Mingyu Ding · 2023
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, et al · 2023
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Interactive language: Talking to robots in real time
Corey Lynch, Ayzaan Wahid, Jonathan Tompson, Tianli Ding, James Betker, Robert Baruch, Travis Armstrong, and Pete Florence · 2023
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RoboAgent: Towards sample efficient robot manipulation with semantic augmentations and action chunking
Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, and Vikash Kumar · 2023
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Furniturebench: Reproducible real-world benchmark for long-horizon complex manipulation
Minho Heo, Youngwoon Lee, Doohyun Lee, and Joseph J. Lim · 2023
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Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, and Vikash Kumar · 2023
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Project aria: A new tool for egocentric multi-modal ai research
Kiran Somasundaram, Jing Dong, Huixuan Tang, Julian Straub, Mingfei Yan, Michael Goesele, Jakob Julian Engel, Renzo De Nardi, and Richard Newcombe · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Inverse dynamics pretraining learns good representations for multitask imitation
David Brandfonbrener, Ofir Nachum, and Joan Bruna · 2023
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Language-driven representation learning for robotics
Siddharth Karamcheti, Suraj Nair, Annie S Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, and Percy Liang · 2023
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EC2: Emergent communication for embodied control
Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, and Chuang Gan · 2023
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Affordances from human videos as a versatile representation for robotics
Shikhar Bahl, Russell Mendonca, Lili Chen, Unnat Jain, and Deepak Pathak · 2023
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Deep rl at scale: Sorting waste in office buildings with a fleet of mobile manipulators
Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, et al · 2023
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Open x-embodiment: Robotic learning datasets and rt-x models
Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alex Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anikait Singh, Anthony Brohan, et al · 2023
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Reviews-consumer technology. the teardown-amazon astro consumer robot
P Dempsey · 2023
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Diffusion policy: Visuomotor policy learning via action diffusion
Cheng Chi, Siyuan Feng, Yilun Du, Zhenjia Xu, Eric Cousineau, Benjamin Burchfiel, and Shuran Song · 2023
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Forcesight: Text-guided mobile manipulation with visual-force goals
Jeremy A Collins, Cody Houff, You Liang Tan, and Charles C Kemp · 2023
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Watch and match: Supercharging imitation with regularized optimal transport
Siddhant Haldar, Vaibhav Mathur, Denis Yarats, and Lerrel Pinto · 2023
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Teach a robot to fish: Versatile imitation from one minute of demonstrations
Siddhant Haldar, Jyothish Pari, Anant Rai, and Lerrel Pinto · 2023
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Lerf: Language embedded radiance fields
Justin Kerr, Chung Min Kim, Ken Goldberg, Angjoo Kanazawa, and Matthew Tancik · 2023
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Language embedded radiance fields for zero-shot task-oriented grasping
Adam Rashid, Satvik Sharma, Chung Min Kim, Justin Kerr, Lawrence Yunliang Chen, Angjoo Kanazawa, and Ken Goldberg · 2023
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D 3 fields: Dynamic 3d descriptor fields for zero-shot generalizable robotic manipulation
Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Driggs-Campbell, Jiajun Wu, Li Fei-Fei, and Yunzhu Li · 2023
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Distilled feature fields enable few-shot language-guided manipulation
William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, and Phillip Isola · 2023
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Conceptfusion: Open-set multimodal 3d mapping
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Keetha, Ayush Tewari, et al · 2023
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Usa-net: Unified semantic and affordance representations for robot memory
Benjamin Bolte, Austin Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, and Chris Paxton · 2023
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Visual language maps for robot navigation
Chenguang Huang, Oier Mees, Andy Zeng, and Wolfram Burgard · 2023
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Visual contact pressure estimation for grippers in the wild
Jeremy A Collins, Cody Houff, Patrick Grady, and Charles C Kemp · 2023
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